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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorMessac, Achille
dc.contributorHajela, Prabhat, 1956-
dc.contributorKoratkar, Nikhil A.
dc.contributorSharkey, Thomas C.
dc.contributor.authorZhang, Junqiang
dc.date.accessioned2021-11-03T10:37:07Z
dc.date.available2021-11-03T10:37:07Z
dc.date.created2013-04-01T16:07:00Z
dc.date.issued2012-12
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3689
dc.descriptionDecember 2012
dc.descriptionSchool of Engineering
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectMechanical engineering
dc.titleCharacterizing probability-based sampling for high-fidelity surrogate modeling
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid38621
dc.digitool.pid38622
dc.digitool.pid38624
dc.digitool.pid38623
dc.digitool.pid38625
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreePhD
dc.relation.departmentDept. of Mechanical, Aerospace, and Nuclear Engineering


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